Nicasia Beebe-Wang

NeuroscienceBiochemistry, Genetics and Molecular BiologyComputer ScienceMedicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “Unified AI framework to uncover deep interrelationships between gene expression and Alzheimer’s disease neuropathologies”.

Unified AI framework to uncover deep interrelationships between gene expression and Alzheimer’s disease neuropathologies

Nature Communications(2021)10.1038/s41467-021-25680-7

N/A

0.449DataRank · unranked

19 citations

Safiye Çelik, Ethan Weinberger, Pascal Sturmfels, Philip L. De Jager, Sara Mostafavi +2 more

An automatic integrative method for learning interpretable communities of biological pathways

NAR Genomics and Bioinformatics(2022)10.1093/nargab/lqac044

N/A

0.208DataRank · unranked

3 citations

Ayse B. Dincer, Su-In Lee, Nicasia Beebe-Wang

Efficient and Explainable Risk Assessments for Imminent Dementia in an Aging Cohort Study

IEEE Journal of Biomedical and Health Informatics(2021)10.1109/jbhi.2021.3059563

N/A

0DataRank · unranked

23 citations

Alex Okeson, Tim Althoff, Su-In Lee, Nicasia Beebe-Wang

Efficient and Explainable Risk Assessments for Imminent Dementia in an Aging Cohort Study

Zenodo (CERN European Organization for Nuclear Research)(2021)10.5281/zenodo.6339664

N/A

0DataRank · unranked

0 citations

Alex Okeson, Tim Althoff, Su-In Lee, Nicasia Beebe-Wang